Village

AI for asset managers on the frontier

[Village @village_dev]

2026 already has more crypto hacks than any full year on record, and it's only October.

The surge began in March, five weeks after Opus 4.6 and GPT-5.3-Codex launched. Exploits are running at 2.5x their 2022–2025 pace.

https://t.co/rRtOc4Wtxt

[Village @village_dev]

Published software vulnerabilities are up 106% from a year ago. Since 2019, yearly growth had never gone above 37%.

Over the same period, vulnerabilities exploited in real attacks only grew 34%.

https://t.co/8XZ3h9LBSq

[Village @village_dev]

In three weeks, Claude Opus 5.5 erased GPT-6 Astra’s gains.

Anthropic is back to its pre-Astra share of business and developer AI spending, and in Ramp’s business spending data, Opus 5.5 outspends Astra more than 3x.

https://t.co/e41yxCehqy

[Village @village_dev]

New math papers on arXiv are up 78% from a year ago. arXiv overall is growing at its fastest pace since at least 2016.

bioRxiv, biology’s counterpart, shows nothing comparable in any of its 19 largest categories.

https://t.co/1ydInIBaRc

[John Kim @john_sungjin]

Today, we're launching Village to let investors orchestrate teams of agents to scale their judgment.

Three years ago, we bet that both humans and agents would need new tools to fulfill the promise of LLMs to transform research. Village is that tool, the first IDE for research built from the ground up so your agents can answer bigger questions, learn from your feedback, and build the AI research infrastructure for your firm.

We're starting with public equity research, enabled by our EDGAR and earnings call transcript datasets, and we'd love to hear what use-cases you'd like to see next.

The feeling of manipulating huge amounts of information and collaborating with hundreds of Assistants is really special, and I'm excited for you to experience it. Our beta sign up link is below!

[Alexander Wang @alexjkwang]

1/ A preview of what we’ve been secretly building at Orchard: LLM agents.

By coordinating and prompting LLM systems effectively, we can create highly capable agents that go beyond simple conversational interfaces.

[Megan Rozanski @megan_rozanski1]

SO excited to finally share what
@HaveTheDeetz and I have been working on for months!! Mind and Match exists to help anyone, anywhere find the right mental health professional for them